Abstract
Tobacco outlet density research has evolved to require a more refined examination of socioeconomic status’ influence beyond median household income. This study investigates the effects of SES on census-tract-level tobacco outlet density in five predominantly White Maryland jurisdictions. Tobacco license addresses and demographic data were analyzed via t tests and spatial lag modeling. Results showed that higher SES jurisdictions had lower tobacco outlet density than lower SES jurisdictions despite similar White populations and that median household income had consistent associations with tobacco outlet density. This study corroborates findings that differences in SES correlate with differences in tobacco outlet density between racially similar areas.
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References
Peterson NA, Lowe JB, Reid RJ. Tobacco outlet density, cigarette smoking prevalence, and demographics at the county level of analysis. Subst Use Misuse. 2005;40(11):1627–35.
Fakunle D, Morton CM, Peterson NA. The importance of income in the link between tobacco outlet density and demographics at the tract level of analysis in New Jersey. J Ethn Subst Abus. 2010;9(4):249–59. https://doi.org/10.1080/15332640.2010.522890.
Fakunle DO, Milam AJ, Furr-Holden CD, Butler J 3rd, Thorpe RJ Jr, LaVeist TA. The inequitable distribution of tobacco outlet density: the role of income in two black mid-Atlantic geopolitical areas. Public Health. 2016;136:35–40. https://doi.org/10.1016/j.puhe.2016.02.032.
Lee JG, Sun DL, Schleicher NM, Ribisl KM, Luke DA, Henriksen L. Inequalities in tobacco outlet density by race, ethnicity and socioeconomic status, 2012, USA: results from the ASPiRE study. J Epidemiol Community Health. 2017;71(5):487–92. https://doi.org/10.1136/jech-2016-208475.
Mayers RS, Wiggins LL, Fulghum FH, Peterson NA. Tobacco outlet density and demographics: a geographically weighted regression analysis. Prev Sci. 2012;13(5):462–71. https://doi.org/10.1007/s11121-011-0273-y.
American FactFinder. U.S. Census Bureau website http://factfinder.census.gov/faces/nav/jsf/pages/index.xhtml. Accessed 22 Jan 2017.
Yu D, Peterson NA, Reid RJ. Exploring the impact of non-normality on spatial non-stationarity in geographically weighted regression analyses: tobacco outlet density in New Jersey. GIsci Remote Sens. 2009;46(3):329–46.
Yu D, Peterson NA, Sheffer MA, Reid RJ, Schnieder JE. Tobacco outlet density and demographics: analysing the relationships with a spatial regression approach. Public Health. 2010;124(7):412–6. https://doi.org/10.1016/j.puhe.2010.03.024.
Ripley BD. Spatial statistics, vol. 575. Hoboken: Wiley; 2005.
Gelfand AE, Diggle P, Guttorp P, Fuentes M. Handbook of spatial statistics. Boca Raton: CRC Press; 2010.
Fischer MM, Gettis A. Recent developments in spatial analysis: spatial statistics, behavioural modelling, and computational intelligence. Berlin: Springer-Verlag; 2013.
Hyland A, Travers MJ, Cummings KM, Bauer J, Alford T, Wieczorek WF. Tobacco outlet density and demographics in Erie County, New York. Am J Public Health. 2003;93(7):1075–6.
Rodriguez D, Carlos HA, Adachi-Mejia AM, Berke EM, Sargent JD. Predictors of tobacco outlet density nationwide: a geographic analysis. Tob Control. 2013;22(5):349–55. https://doi.org/10.1136/tobaccocontrol-2011-050120.
Loomis BR, Kim AE, Goetz JL, Juster HR. Density of tobacco retailers and its association with sociodemographic characteristics of communities across New York. Public Health. 2013;127(4):333–8. https://doi.org/10.1016/j.puhe.2013.01.013.
Kawachi I, Kennedy BP. Income inequality and health: pathways and mechanisms. Health Serv Res. 1999;34(1 Pt 2):215–27.
Subramanian SV, Kawachi I. Income inequality and health: what have we learned so far? Epidemiol Rev. 2004;26:78–91.
Reid RJ, Peterson NA, Lowe JB, Hughey J. Tobacco outlet density and smoking prevalence: does racial concentration matter? Drugs (Abingdon Engl). 2005;12(3):233–8.
Ogneva-Himmelberger Y, Ross L, Burdick W, Simpson SA. Using geographic information systems to compare the density of stores selling tobacco and alcohol: youth making an argument for increased regulation of the tobacco permitting process in Worcester, Massachusetts, USA. Tob Control. 2010;19(6):475–80. https://doi.org/10.1136/tc.2008.029173.
Gorman DM, Speer PW, Gruenewald PJ, Labouvie EW. Spatial dynamics of alcohol availability, neighborhood structure and violent crime. J Stud Alcohol. 2001;62(5):628–36.
Morrison C, Gruenewald PJ, Ponicki WR. Race, ethnicity, and exposure to alcohol outlets. J Stud Alcohol Drugs. 2016;77(1):68–76.
Grubesic TH, Wei R, Murray AT, Pridemore WA. Comparative approaches for assessing access to alcohol outlets: exploring the utility of a gravity potential approach. Popul Health Metrics. 2016;14:25. https://doi.org/10.1186/s12963-016-0097-x.
SPSS Statistics for Windows [computer program]. Version 24.0. IBM Corp; 2017.
Auchincloss AH, Gebreab SY, Mair C, Diez Roux AV. A review of spatial methods in epidemiology, 2000–2010. Annu Rev Public Health. 2012;33:107–22. https://doi.org/10.1146/annurev-publhealth-031811-124655.
R [computer program]. Version 3.5.1. The R project for statistical computing. 2018.
Fakunle DO. Black, white, or green? The effects of racial composition and socioeconomic status on neighborhood-level tobacco outlet density in Maryland [dissertation]. Baltimore: Johns Hopkins Bloomberg school of Public Health; 2017.
Hambrick G. Urban vs. rural: counties ranked in Maryland. Towson Patch. December 8, 2016. https://patch.com/maryland/towson/urban-vs-rural-counties-ranked-maryland. Accessed 5 Sept 2017.
Maryland Office of Minority Health and Health Disparities. Charts of selected Black vs. White chronic disease SHIP metrics: Western Maryland counties (Allegany, Garrett, and Washington). https://health.maryland.gov/mhhd/Documents/Jurisdiction-profiles_Western-Maryland.pdf. Published April 16, 2012. Accessed 12 Sept 2018.
Laws MB, Whitman J, Bowser DM, Krech L. Tobacco availability and point of sale marketing in demographically contrasting districts of Massachusetts. Tob Control. 2002;11(Suppl 2):ii71–3.
Luke D, Esmundo E, Bloom Y. Smoke signs: patterns of tobacco billboard advertising in a metropolitan region. Tob Control. 2000;9(1):16–23.
Barbeau EM, Wolin KY, Naumova EN, Balbach E. Tobacco advertising in communities: associations with race and class. Prev Med. 2005;40(1):16–22.
Cope M, Elwood S, Qualitative GIS. A mixed methods approach. London: SAGE Publications; 2009.
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This study was supported by the National Institute on Drug Abuse (T32 DA007292).
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Fakunle, D.O., Thorpe, R.J., Furr-Holden, C.D.M. et al. Does Tobacco Outlet Inequality Extend to High-White Mid-Atlantic Jurisdictions? A Study of Socioeconomic Status and Density. J. Racial and Ethnic Health Disparities 6, 409–418 (2019). https://doi.org/10.1007/s40615-018-00538-9
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DOI: https://doi.org/10.1007/s40615-018-00538-9